P12-1013 |
contribution of the paper is an efficient
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polynomial approximation
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algorithm for learning entailment
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J15-2003 |
main contribution is a heuristic
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polynomial approximation
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algorithm that can learn entailment
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W04-1017 |
algorithm is the best possible
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polynomial approximation
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algorithm for this problem .
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C73-2010 |
were computed by least-squares
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polynomial approximation
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on the logarithmic diagram .
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J79-1016 |
some " triangular " ) and the
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polynomial approximations
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. Of the shapes he studied ,
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P04-1051 |
NPcomplete and does n't even admit
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polynomial approximation
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algorithms ( unless P = NP )
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J15-2003 |
exploit this assumption to develop a
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polynomial approximation
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algorithm for learning entailment
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J79-1016 |
6 , page 14 , shows that of a
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polynomial approximation
|
. The over-all falloff of the
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H05-1082 |
the eight extraction databases .
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Polynomial approximations
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were fitted against both the
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P84-1091 |
translated into a z score using a
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polynomial approximation
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( Abramowitz and Stegun 1970
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J79-1016 |
generating glottal waves using the
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polynomial approximation
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. Values of pitch ( P ) and zero-to-peak
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C04-1057 |
that this algorithm is the best
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polynomial approximation
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algorithm for the problem ( Hochbaum
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J79-1016 |
Rosenberg 's equations for the
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polynomial approximation
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are used in GLOT ; to get the
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